Beyond amylose content, selecting starch traits impacting in vitro α-amylase degradability in a wheat MAGIC population

Carbohydr Polym. 2022 Sep 1:291:119652. doi: 10.1016/j.carbpol.2022.119652. Epub 2022 May 25.


A major challenge faced when studying the "structure-degradability" interaction of native starch is deciphering the interdependency between different structural levels, especially when experimental conditions limit the number of samples. To tackle this challenge, 224 wheat starches from a 4-way multiparent advanced generation inter-cross population were screened for structural features and degradation profiles by porcine pancreatic α-amylase. A hierarchical clustering on principal components (HCPC) were used as multifactorial analysis to explore the data structure. The degradation procedure was proved to be robust and sensible enough to screen a large collection of starches. The HCPC highlighted the combined effects of granule size distribution (GSD), amylopectin chain length distribution (CLD), amylose content and endogenous α-amylase activity on degradation kinetics. Especially the GSD and amylopectin CLD showed high co-occurrences with specific hydrolysis profiles. These findings provide an innovative screening method and structural factors to be primarily considered for wheat starch selection in breeding programs.

Keywords: Degradation; Kinetics; Multifactorial analysis; Screening; Starch; Wheat.

MeSH terms

  • Amylases
  • Amylopectin* / chemistry
  • Amylose* / chemistry
  • Starch / chemistry
  • Triticum / chemistry
  • alpha-Amylases / metabolism


  • Starch
  • Amylose
  • Amylopectin
  • Amylases
  • alpha-Amylases